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20152024
most citedSupport Recovery in Universal One-bit Compressed Sensing

7 citations · 36 across the 24 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.DS2021

Random Subgraph Detection Using Queries

Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal

The planted densest subgraph detection problem refers to the task of testing whether in a given (random) graph there is a subgraph that is unusually dense. Specifically, we observe…

math.PR2021★ 2 cited

Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians

Sami Davies, Arya Mazumdar, Soumyabrata Pal +1

Mixtures of high dimensional Gaussian distributions have been studied extensively in statistics and learning theory. While the total variation distance appears naturally in the sam…

cs.IT2021★ 7 cited

Support Recovery in Universal One-bit Compressed Sensing

Arya Mazumdar, Soumyabrata Pal

One-bit compressed sensing (1bCS) is an extreme-quantized signal acquisition method that has been intermittently studied in the past decade. In 1bCS, linear samples of a high dimen…

stat.ML2021

Support Recovery of Sparse Signals from a Mixture of Linear Measurements

Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal

Recovery of support of a sparse vector from simple measurements is a widely-studied problem, considered under the frameworks of compressed sensing, 1-bit compressed sensing, and mo…

cs.LG2021★ 1 cited

Fuzzy Clustering with Similarity Queries

Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal

The fuzzy or soft -means objective is a popular generalization of the well-known -means problem, extending the clustering capability of the -means to datasets that are unc…

cs.LG2021★ 2 cited

Learning User Preferences in Non-Stationary Environments

Wasim Huleihel, Soumyabrata Pal, Ofer Shayevitz

Recommendation systems often use online collaborative filtering (CF) algorithms to identify items a given user likes over time, based on ratings that this user and a large number o…